@Article{2018.100000060,
AUTHOR = {Purvashi Baynath, Sunjiv Soyjaudah, Maleika Heenaye-Mamode Khan},
TITLE = {Feature Selection and Representation of Evolutionary Algorithm on  Keystroke Dynamics},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {4},
PAGES = {651--661},
URL = {http://www.techscience.com/iasc/v25n4/39696},
ISSN = {2326-005X},
ABSTRACT = {The goal of this paper is (i) adopt fusion of features (ii) determine the best 
method of feature selection technique among ant Colony optimisation, artificial 
bee colony optimisation and genetic algorithm. The experimental results 
reported that ant colony Optimisation is a promising techniques as feature 
selection on Keystroke Dynamics as it outperforms in terms of recognition rate 
for our inbuilt database where the distance between the keys has been 
considered for the password derivation with recognition rate 97.85%. Finally 
the results have shown that a small improvement is obtained by fused features, 
which suggest that an effective fusion is necessary.},
DOI = {10.31209/2018.100000060}
}